The L2 norm soft margin algorithms in SVMs can change each linearly inseparable problem into a separable one.
支持向量机中的L2范数软边缘算法可以将线性不可分问题转化为线性可分问题。
Programming the complex control algorithms and soft redundancy switching to the controller, and design the system structure rationally, it solves the control problem in refinery.
通过软件编程的方式将复杂控制算法和软冗余切换程序嵌入到控制器中运行,并合理设计系统结构,解决了炼油装置的疑难控制问题。
In this thesis, soft computing based control algorithms including genetic algorithms (GA), fuzzy control, neural networks (NN) and their different combinations are discussed systematically.
本论文对包含遗传算法、模糊逻辑控制和神经网络的软计算的智能控制及其几种不同结合方式做了较为系统的研究。
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